Digital volunteers can help respond to disasters through crowdsourcing. They provide information and solutions in five ways: advocacy on social media, crowdsourcing situation reports, creating crowd-sourced maps, developing crowd-generated solutions, and crowd-based information management. Effective digital disaster response requires coordinating these efforts using technologies like social networks, blogs, and collaborative workspaces to facilitate knowledge sharing between volunteers and aid organizations. Governance policies are needed to address legal and security issues from crowd-sourced crisis information.

1. Digital Disaster Responders
Di it l Di t R d
Gísli Ólafsson
Disaster Management Advisor
Email: gislio@live.com
Email: gislio@live.com
Blog: http://blog.disasterexpert.org
Twitter: @gislio

2. Disasters

3. Images of people in need

4. The longing to lend a hand

5. But not everyone can go there

6. The Birth Of Digital Disaster Responders

7. Five types of crowd involvement

8. 1. Advocacy

9. Social Media

10. Text „HAITI“ to 90999 Campaign

11. Provide advise to affected population

12. 2. Crowdsourcing Situation Information

13. Mission 4636

14. Information Economics

15. 3. Crowd Generated Maps

16. Open Street Maps

17. 4. Crowd Generated Solutions

18. CrisisCamp Haiti

19. Big World – Small World

20. 30 second learning curve

21. Data Collation/
Data Collection
Data Collection Data Analysis
Data Analysis
Processing
i
Information
Dissemination
Decisions
5. Crowd Based Information Management

22. Information Management – on the ground

23. Connectivity

24. Sources of Information

25. • noise becomes data when it has a cognitive pattern
• data becomes information when its assembled into a coherent whole which can
d b i f i h i bl d i h h l hi h
be related to other information
• information becomes knowledge when its integrated with other information in a
i f ti b k l d h it i t t d ith th i f ti i
form that is useful for making decisions and determining actions,
• knowledge becomes understanding when related to other knowledge in a manner
knowledge becomes understanding when related to other knowledge in a manner
useful in anticipating, judging and acting,
• understanding becomes wisdom when its informed by purpose, ethics, principals,
understanding becomes wisdom when its informed by purpose ethics principals
memory and projection
Dee Hock, 1996
Dee Hock, 1996
Why we need information

26. DATA VOLUME =
# of Forms Collected x Number/Type of
Questions x Periodicity (Frequency of data
Questions x Periodicity (Frequency of data
collection)
Data Volume

27. Mechanical Turks

28. Translation Frameworks

29. Swift River

30. Collaborative Analysis

31. The Way Forward

32. Facilitated Collaborative Social
Knowledge Management
Knowledge Management Workgroups Networks
Evolution

33. Discussion
Discussion
Boards Shared Podcasting Comments
Versioning Calendars Microblogging
Document Profiles
Team Sites
Libraries Blogs Tags
Task
Lists Wikis
Surveys Ratings
Enterprise Social
Collaboration Computing
Capabilities
p Technologies
g
Disaster
Communities
The Need for Communities

34. The crowd and cloud based crisis information
management has to be a joint effort where
we combine multiple technologies to solve the
issues ahead.
A Common Cause

35. Governance Policies

36. Legal, Compliance & Security

37. Confusion

38. Websites/Blogs: • Twitter:
• http://blog.disasterexpert.net
// • @gislio
• http://crisiscamp.org/ • @DavidClinchNews
• http://www.rhok.org/ • @poplifegirl
• htt //
http://www.crisismappers.net/
ii t/ • @ ti k i
@patrickmeier
• http://ushahidi.org • @whiteafrican
• http://storyful.net • @edjez
• @andrejverity
• @crisismappers
• @crisiscamp
• @ushahidi
Further resources

39. Source: xkcd,
,
http://xkcd.com/386/
And Finally...

40. Backup slides

41. Optimal Cloud Workload Patterns

42. Organizations 2.0

43. Normal (routine
emergencies)
• People relate as roles
• People are the problem
• Orgs are the solution
Disaster
• Relate as People
• Orgs are the problem
• People are the
solution
Catastrophe
• Society breaks down
• No relationships –
survival
• Only happened a few
times (Hiroshima)
E=mc2 of disasters